Data Engineering
Objective:Train students in data pipelines, big data technologies, and ETL processing.
Tools & Technologies: Python, SQL, Spark, AWS Glue, Snowflake
Module 1
Data Processing Fundamentals
- ETL (Extract, Transform, Load) Concepts
- SQL & NoSQL Databases
Module 2
Big Data & Analytics
- Apache Spark & Hadoop Basicst
- Data Lake & Warehouse (Snowflake, Redshift)
Module 3
Data Pipelines & Automation
- Apache Airflow for Workflow Automation
- AWS Glue & DataBricks
Module 4
Cloud & Security in Data Engineering
- Data Governance & Compliance
- Cloud Data Pipeline Deployment
Final Project: Build an ETL Pipeline for Data Analytics
